Test of two prediction methods for minimum and maximum values of gait kinematics and kinetics data over a range of speeds |
| |
| Institution: | 1. Faculty of Health Sciences, Univeristy of Malta, Msida, Malta;2. Faculty of Health Sciences, University of Malta, Msida, Malta;1. Baía Sul Hospital, Florianópolis, Santa Catarina, Brazil;2. Department of Surgery, Federal University of Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brazil;3. Postgraduate Program in Dentistry, Federal University of Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brazil;4. Department of Mechanical Engineering, Federal University of Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brazil;5. Department of Clinical Medicine, Federal University of Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brazil;6. Centre of Health and Sports Sciences, State University of Santa Catarina, Florianópolis, Santa Catarina, Brazil;1. Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, United States;2. Division of Infectious Disease, University of Alabama at Birmingham, Birmingham, AL, United States;3. School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States;4. Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, United States;5. Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States;1. Department of Neurorehabilitation, Hospital of Vipiteno/Sterzing, Vipiteno, Sterzing, Italy;2. Reasearch Unit for Neurorehabilitation of South Tyrol, Bolzano, Bozen, Italy;3. Department of Neurology, Hochzirl Hospital, Zirl, Austria;4. EMG and Motor Control Unit, Department of Neurology, Hospital Clínic, Barcelona, Spain;5. IDIBAPS (Institut d''Investigació August Pi i Sunyer), Facultat de Medicina, University of Barcelona, Barcelona, Spain;1. Human Movement Performance Enhancement Research Unit, Department of Physical Therapy, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand;2. STIKes Muhammadiyah Palembang, South Sumatera, Indonesia;1. Tokyo Metropolitan University, Tokyo, Japan;2. Research Center in BNOJPH, Khon Kaen University, Khon Kaen, Thailand;3. Toin University of Yokohama, Kanagawa, Japan |
| |
| Abstract: | BackgroundMinimum and maximum values of gait kinematics and kinetics data are commonly used to quantitatively describe a walking pattern.Research questionThe purposes of this study were to determine the effect of speed on the minimum and maximum values of gait kinematics and kinetics variables and to test two prediction methods for the estimation of these minimum and maximum values at different gait speeds.MethodsAn open dataset with the data of 24 healthy adults (age: 27.6 ± 4.4 years, height: 171.1 ± 10.5 cm, body mass: 68.4 ± 12.2 kg) walking on a treadmill at eight gait speeds was employed in this study. The minimum and maximum angles and moments of the hip, knee, and ankle joints were extracted from speed-dependent prediction curves solely for the minimum and maximum values (PEAK method) and from speed-dependent prediction curves for the entire gait cycle (CYCLE method). The overall error, computed as the root-mean-square error (RMSE), for the minimum and maximum values predicted by these two methods were compared with the experimental true values.ResultsThe RMSEs for the joint angles were PEAK: 3.86 ± 1.21°, CYCLE: 3.88 ± 1.18° and for the joint moments were PEAK: 0.129 ± 0.052 Nm/kg, CYCLE: 0.131 ± 0.052 Nm/kg.SignificanceThe two prediction methods tested can be used to estimate the minimum and maximum values of biomechanical gait variables at a certain speed. |
| |
| Keywords: | Walking speed Prediction methods Kinematics Kinetics |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
